Skip to content

BUG: melt losing ea dtype #50316

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom
Merged
mroeschke merged 3 commits into from
Dec 17, 2022
Merged

BUG: melt losing ea dtype #50316

mroeschke merged 3 commits into from
Dec 17, 2022

Conversation

@phofl
Copy link
Member

@phofl phofl commented Dec 17, 2022 

       before           after         ratio
     [1613f26f]       [6b93f528]
-      15.5±0.2ms      9.72±0.07ms     0.63  reshape.Melt.time_melt_dataframe('Float64')

@phofl phofl added Bug Reshaping Concat, Merge/Join, Stack/Unstack, Explode NA - MaskedArrays Related to pd.NA and nullable extension arrays labels Dec 17, 2022
@mroeschke mroeschke added this to the 2.0 milestone Dec 17, 2022
@mroeschke mroeschke merged commit cbf80c2 into pandas-dev:main Dec 17, 2022
@mroeschke
Copy link
Member

mroeschke commented Dec 17, 2022

Thanks @phofl

phofl added a commit to phofl/pandas that referenced this pull request Dec 17, 2022
@phofl
BUG: melt losing ea dtype (pandas-dev#50316)
6845411 
* BUG: melt losing ea dtype

* Add asv

* Fix mypy
@phofl phofl deleted the 41570 branch December 17, 2022 21:42
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Reviewers

@mroeschke mroeschke mroeschke approved these changes

Assignees

No one assigned

Labels

Bug NA - MaskedArrays Related to pd.NA and nullable extension arrays Reshaping Concat, Merge/Join, Stack/Unstack, Explode

Projects

None yet

Milestone

2.0

Development

Successfully merging this pull request may close these issues.

BUG: Column 'Int8Dtype' casted to 'object' type when melted

2 participants

@phofl @mroeschke